@@ -618,28 +618,28 @@ def parse(self, fmt_string):
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# Utils to columnize a list of string
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#-----------------------------------------------------------------------------
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- def _col_chunks (l , nrows , row_first = False ):
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- """Yield successive nrows -sized column chunks from l."""
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+ def _col_chunks (l , max_rows , row_first = False ):
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+ """Yield successive max_rows -sized column chunks from l."""
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if row_first :
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- ncols = (len (l ) // nrows ) + (len (l ) % nrows > 0 )
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+ ncols = (len (l ) // max_rows ) + (len (l ) % max_rows > 0 )
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for i in py3compat .xrange (ncols ):
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yield [l [j ] for j in py3compat .xrange (i , len (l ), ncols )]
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else :
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- for i in py3compat .xrange (0 , len (l ), nrows ):
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- yield l [i :(i + nrows )]
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+ for i in py3compat .xrange (0 , len (l ), max_rows ):
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+ yield l [i :(i + max_rows )]
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def _find_optimal (rlist , row_first = False , separator_size = 2 , displaywidth = 80 ):
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"""Calculate optimal info to columnize a list of string"""
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- for nrow in range (1 , len (rlist ) + 1 ):
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- col_widths = list (map (max , _col_chunks (rlist , nrow , row_first )))
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+ for max_rows in range (1 , len (rlist ) + 1 ):
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+ col_widths = list (map (max , _col_chunks (rlist , max_rows , row_first )))
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sumlength = sum (col_widths )
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ncols = len (col_widths )
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if sumlength + separator_size * (ncols - 1 ) <= displaywidth :
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break
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return {'num_columns' : ncols ,
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'optimal_separator_width' : (displaywidth - sumlength ) / (ncols - 1 ) if (ncols - 1 ) else 0 ,
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- 'num_rows ' : nrow ,
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+ 'max_rows ' : max_rows ,
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'column_widths' : col_widths
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}
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@@ -685,8 +685,8 @@ def compute_item_matrix(items, row_first=False, empty=None, *args, **kwargs) :
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num_columns
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number of columns
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- num_rows
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- number of rows
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+ max_rows
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+ maximum number of rows (final number may be less)
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column_widths
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list of with of each columns
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optimal_separator_width
@@ -707,10 +707,10 @@ def compute_item_matrix(items, row_first=False, empty=None, *args, **kwargs) :
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{'num_columns': 3,
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'column_widths': [5, 1, 1],
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'optimal_separator_width': 2,
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- 'num_rows ': 5})
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+ 'max_rows ': 5})
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"""
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info = _find_optimal (list (map (len , items )), row_first , * args , ** kwargs )
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- nrow , ncol = info ['num_rows ' ], info ['num_columns' ]
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+ nrow , ncol = info ['max_rows ' ], info ['num_columns' ]
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if row_first :
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return ([[_get_or_default (items , r * ncol + c , default = empty ) for c in range (ncol )] for r in range (nrow )], info )
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else :
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